The WV_DENOISE function uses the wavelet transform to filter (or de-noise) a multi-dimensional array.

WV_DENOISE computes the discrete wavelet transform of *Array*, and then discards wavelet coefficients smaller than a certain threshold. WV_DENOISE then computes the inverse wavelet transform on the filtered coefficients and returns the result.

## Examples

Remove the noise from a 128 x 128 image:

image = dist(128) + 5*randomn(1, 128, 128)

`; Keep only 100 out of 16384 coefficients:`

denoise = WV_DENOISE(image, 'Daubechies', 2, COEFF=100, $

DENOISE_STATE=denoise_state)

window, xsize=256, ysize=155

tvscl, image, 0

tvscl, denoise, 1

xyouts, [64, 196], [5, 5], ['Image', 'Filtered'], $

/device, align=0.5, charsize=2

print, 'Percent of power retained: ', denoise_state.percent

IDL prints:

Percent of power retained: 93.151491

Change to a “soft” threshold (use DENOISE_STATE to avoid re-computing):

denoise2 = WV_DENOISE(image, COEFF=100, $

` DENOISE_STATE=denoise_state, THRESHOLD=1)`

## Syntax

*Result* = WV_DENOISE(*Array *[*, Family, Order*] [, COEFFICIENTS=*value*] [, CUTOFF=*variable*] [, DENOISE_STATE=*variable*] [, /DOUBLE] [, DWT_FILTERED=*variable*] [, PERCENT=*value*] [, THRESHOLD=*value*] [, WPS_FILTERED=*variable*])

## Return Value

The result is an array of the same dimensions as the input *Array*. If *Array* is double precision or /DOUBLE is set then the result is double precision, otherwise the result is single precision.

## Arguments

### Array

A one-dimensional array of length N, of floating-point or complex type.

### Family

A scalar string giving the name of the wavelet function to use for the transform. WV_DENOISE will construct the actual function name by removing all white space and attaching a prefix of 'WV_FN_'.

**Note: **WV_DENOISE may only be used with discrete wavelets, such as WV_FN_COIFLET, WV_FN_DAUBECHIES, WV_FN_HAAR, and WV_FN_SYMLET.

### Order

The order number, or parameter, for the wavelet function given by *Family*. If not specified the default for the wavelet function will be used.

**Note: **If you pass in a DENOISE_STATE structure, then *Family* and *Order* may be omitted. In this case the values from DENOISE_STATE are used.

## Keywords

### COEFFICIENTS

Set this keyword to a scalar specifying the number of wavelet coefficients to retain in the filtered wavelet transform. This keyword is ignored if keyword PERCENT is present.

### CUTOFF

Set this keyword to a named variable that, upon return, will contain the cutoff value of wavelet power that was used for the threshold.

### DENOISE_STATE

This is both an input and an output keyword. If this keyword is set to a named variable, then on exit, DENOISE_STATE will contain the following structure:

Tag |
Type |
Definition |

FAMILY |
STRING |
Name of the wavelet function used. |

ORDER |
DOUBLE |
Order for the wavelet function. |

DWT |
FLT/DBLARR |
Discrete wavelet transform of |

WPS |
FLT/DBLARR |
Wavelet power spectrum, equal to |DWT|^2 |

SORTED |
FLT/DBLARR |
Percent-normalized WPS, sorted |

CUMULATIVE |
FLT/DBLARR |
Cumulative sum of SORTED |

COEFFICIENTS |
LONG |
Number of coefficients retained |

PERCENT |
DOUBLE |
Percent of coefficients retained |

**Note: **If the DOUBLE keyword is set, then the arrays will be of type double.

Upon input, if DENOISE_STATE is set to a structure with the above form, then DWT, WPS, SORTED, and CUMULATIVE will not be recomputed by WV_DENOISE. This is useful for making multiple calls to WV_DENOISE using the same *Array*.

**Note: **No error checking is made on the input values. The values should not be modified between calls to DENOISE_STATE.

### DOUBLE

Set this keyword to force the computation to be done using double-precision arithmetic.

### DWT_FILTERED

Set this keyword to a named variable in which the filtered discrete wavelet transform will be returned.

### PERCENT

Set this keyword to a scalar specifying the percentage of cumulative power to retain.

**Note: **If neither COEFFICIENTS nor PERCENT is present then all of the coefficients are retained (i.e. no filtering is done).

### THRESHOLD

Set this keyword to a scalar specifying the type of threshold. The actual threshold, *T, *is set using COEFFICIENTS or PERCENT. Possible values are:

**0:**Hard threshold (this is the default). The hard threshold sets all wavelet coefficients with magnitude less than or equal to*T*to zero.**1:**Soft threshold. The soft threshold sets all DWT[i] with magnitude less than*T*to zero, and also linearly reduces the magnitude of the each retained wavelet coefficient by*T*: Positive coefficients are set equal to DWT[i] –*T*, while negative coefficients are set equal to DWT[i] +*T*.

### WPS_FILTERED

Set this keyword to a named variable in which the filtered wavelet power spectrum will be returned.

## Version History

5.4 |
Introduced |